High-accuracy morphological identification of bone marrow cells using deep learning-based Morphogo system
Abstract Accurate identification and classification of bone marrow (BM) nucleated cell morphology are crucial for the diagnosis of hematological diseases. However, the subjective and time-consuming nature of manual identification by pathologists hinders prompt diagnosis and patient treatment. To add...
Main Authors: | Zhanwu Lv, Xinyi Cao, Xinyi Jin, Shuangqing Xu, Huangling Deng |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-08-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-40424-x |
Similar Items
-
The Application of Morphogo in the Detection of Megakaryocytes from Bone Marrow Digital Images with Convolutional Neural Networks
by: Xiaofen Wang MM, et al.
Published: (2023-01-01) -
Morphological and Immunophenotypical Changes of Human Bone Marrow Adipocytes in Marrow Metastasis and Myelofibrosis
by: Michele Dello Spedale Venti, et al.
Published: (2022-06-01) -
HematoNet: Expert level classification of bone marrow cytology morphology in hematological malignancy with deep learning
by: Satvik Tripathi, et al.
Published: (2022-12-01) -
Influence of bone marrow characteristic and trabecular bone morphology on bone remodelling process with FSI approach
by: A. A. R Rabiatul, A. A. R Rabiatul, et al.
Published: (2022) -
PB1937: UTILITY OF STERNAL BONE MARROW CELL MORPHOLOGY EVALUATION FOR DIAGNOSTIC CATEGORIZATION IN PATIENTS WITH ACQUIRED HYPOCELLULAR BONE MARROW FAILURE SYNDROMES
by: J. Chen, et al.
Published: (2022-06-01)